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- Tasks: Transform raw data into insights that shape investment strategies and risk models.
- Company: Join a leading firm in investment and financial services focused on data-driven decisions.
- Benefits: Enjoy flexible working, competitive salary, health coverage, and career growth opportunities.
- Why this job: Make an impact on billion-dollar decisions while working with cutting-edge technology in a diverse team.
- Qualifications: Proficiency in Python, R, SQL; finance experience is a plus but not required.
- Other info: Ongoing training and development opportunities available, including mentorship and industry conferences.
The predicted salary is between 30000 - 50000 £ per year.
Location: Hybrid – London
Salary: Competitive, with performance-based bonuses
Industry: Investment & Financial Services
Tech Stack: Python, R, SQL, Machine Learning, AI, Big Data
Salary: £30,000 - £50,000 D.O.E
Benefits: Flexible working, excellent salary & bonuses, full health coverage, retirement plans, wellness programs, and career growth opportunities.
Are you passionate about data, finance, and cutting-edge technology? Join a leading investment and financial services firm at the forefront of data-driven decision-making. We are looking for a Financial Data Scientist to transform raw data into actionable insights that shape investment strategies, risk models, and business growth. This is an exciting opportunity to work with a company that values innovation, collaboration, and continuous learning.
Why Join Us?
- Impactful Work: Help drive billion-dollar investment decisions, optimise risk strategies, and enhance financial forecasting using data science.
- Cutting-Edge Technology: Work with the latest AI, machine learning, and big data tools to analyse financial markets and business trends.
- Diverse & Inclusive Team: We welcome candidates from all backgrounds—finance, engineering, statistics, economics, mathematics, and beyond!
- Excellent Benefits: Competitive salary, performance-based bonuses, flexible working arrangements, health and wellness programs, learning and development support, and generous pension contributions.
- Career Growth: Work with top financial professionals, data scientists, and technologists, with opportunities for leadership and cross-functional collaboration.
Your Role:
- Develop and refine predictive models to analyse financial markets, consumer behaviour, and economic trends.
- Use machine learning and AI to improve trading strategies, risk assessment, and investment decision-making.
- Collaborate with traders, analysts, and business leaders to translate complex data into strategic insights.
- Build automated data pipelines and improve data accessibility across the organisation.
- Work with large datasets from diverse financial sources, ensuring accuracy and efficiency in data processing.
What We’re Looking For:
- Data Enthusiasts: Whether you’re an experienced financial analyst with strong coding skills or a data scientist eager to break into finance, this role is for you!
- Technical Skills: Proficiency in Python, R, SQL, MATLAB, or similar programming. Knowledge of machine learning frameworks (TensorFlow, Scikit-learn, etc.) is a plus.
- Financial Acumen (Bonus, Not Required!): Experience in financial markets, trading, risk management, or portfolio optimisation is great but not mandatory—we provide training!
- Problem Solvers & Innovators: Strong analytical thinking, a passion for finding patterns in data, and the ability to turn insights into impactful business strategies.
- Team Players: Ability to work across departments, communicate complex ideas simply, and contribute to a collaborative culture.
What’s in It for You?
- Highly competitive salary and performance-based bonuses.
- Flexible work arrangements – hybrid or remote options available.
- Comprehensive benefits package, including health insurance, retirement plans, wellness programs, and paid time off.
- Ongoing training & development, including access to industry conferences, mentorship programs, and technical training.
- Exciting, fast-paced environment where your work directly impacts investment strategies and financial innovation.
If you’re excited about using data science to transform finance and want to be part of a forward-thinking, dynamic team, we’d love to hear from you. Apply now and take your career to the next level!
Financial Data Scientist employer: ZipRecruiter
Contact Detail:
ZipRecruiter Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Financial Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in financial data science. Follow industry leaders on social media and read relevant blogs to understand what skills are currently in demand, especially in machine learning and AI applications within finance.
✨Tip Number 2
Network with professionals in the investment and financial services sector. Attend meetups, webinars, or conferences related to data science and finance to make connections that could lead to job opportunities at our company.
✨Tip Number 3
Showcase your technical skills through personal projects or contributions to open-source initiatives. Having a portfolio that demonstrates your proficiency in Python, R, or SQL can set you apart from other candidates.
✨Tip Number 4
Prepare for interviews by practising how to explain complex data concepts in simple terms. Being able to communicate effectively with non-technical stakeholders is crucial in a collaborative environment like ours.
We think you need these skills to ace Financial Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science and finance. Emphasise your technical skills in Python, R, SQL, and any machine learning frameworks you've used. Showcase projects or roles where you've transformed data into actionable insights.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and finance. Mention specific examples of how you've used data to drive decisions or improve processes. Align your skills with the job description, particularly focusing on your problem-solving abilities and teamwork.
Showcase Relevant Projects: If you have worked on projects involving predictive modelling or financial analysis, include them in your application. Describe your role, the tools you used, and the impact of your work. This will demonstrate your practical experience and enthusiasm for the field.
Highlight Continuous Learning: Mention any ongoing training or certifications related to data science or finance. This shows your commitment to professional growth and staying updated with industry trends, which is highly valued in a fast-paced environment like investment and financial services.
How to prepare for a job interview at ZipRecruiter
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python, R, SQL, and any machine learning frameworks you’ve used. Bring examples of projects where you've applied these skills, especially in a financial context.
✨Demonstrate Financial Acumen
Even if you don't have extensive experience in finance, show your enthusiasm for the industry. Familiarise yourself with basic financial concepts and be ready to discuss how data science can impact investment strategies and risk management.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that assess your analytical thinking and problem-solving abilities. Practice articulating your thought process clearly, as this will demonstrate your ability to turn insights into actionable strategies.
✨Emphasise Collaboration and Communication
Highlight your experience working in teams and your ability to communicate complex ideas simply. This role requires collaboration across departments, so showcasing your teamwork skills will be crucial.
